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    ESANN
    2008
    91views Neural Networks» more  ESANN 2008»
    Phase transitions in Vector Quantization
    13 years 9 months ago
    Phase transitions in Vector Quantization
    Download  www.dice.ucl.ac.be
    Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
    Aree Witoelar, Anarta Ghosh, Michael Biehl
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    HCI
    2007
    160views Human Computer Interaction» more  HCI 2007»
    Character Agents in E-Learning Interface Using Multimodal Real-Time Interaction
    13 years 9 months ago
    Character Agents in E-Learning Interface Using Multimodal Real-Time Interaction
    Download  www.miv.t.u-tokyo.ac.jp
    This paper describes an e-learning interface with multiple tutoring character agents. The character agents use eye movement information to facilitate empathy-relevant reasoning and...
    Hua Wang, Jie Yang, Mark H. Chignell, Mitsuru Ishi...
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    NIPS
    2008
    173views Information Technology» more  NIPS 2008»
    Adapting to a Market Shock: Optimal Sequential Market-Making
    13 years 9 months ago
    Adapting to a Market Shock: Optimal Sequential Market-Making
    Download  www.cs.rpi.edu
    We study the profit-maximization problem of a monopolistic market-maker who sets two-sided prices in an asset market. The sequential decision problem is hard to solve because the ...
    Sanmay Das, Malik Magdon-Ismail
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    SDM
    2008
    SIAM
    133views Data Mining» more  SDM 2008»
    A RELIEF Based Feature Extraction Algorithm
    13 years 9 months ago
    A RELIEF Based Feature Extraction Algorithm
    Download  siam.org
    RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
    Yijun Sun, Dapeng Wu
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    NIPS
    2007
    172views Information Technology» more  NIPS 2007»
    A Kernel Statistical Test of Independence
    13 years 9 months ago
    A Kernel Statistical Test of Independence
    Download  eprints.pascal-network.org
    Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
    Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le ...
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